↓ Skip to main content

Dietary intake patterns and nutritional status of women of reproductive age in Nepal: findings from a health survey

Overview of attention for article published in Archives of Public Health, January 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

dimensions_citation
66 Dimensions

Readers on

mendeley
358 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Dietary intake patterns and nutritional status of women of reproductive age in Nepal: findings from a health survey
Published in
Archives of Public Health, January 2016
DOI 10.1186/s13690-016-0114-3
Pubmed ID
Authors

Shiva Bhandari, Jamuna Tamrakar Sayami, Pukar Thapa, Matina Sayami, Bishnu Prasad Kandel, Megha Raj Banjara

Abstract

Improper dietary intake pattern in women of reproductive age in Nepal has resulted in the deficiency of essential nutrients. Adequate nutritional status and proper dietary intake pattern of women improves maternal and child health. The objective of this study was to assess the nutritional status and dietary intake pattern among the women and associated factors. Data collection at households and health check-up camps were conducted in selected Village Development Committees of nine districts in three ecological regions (Mountain, Hill and Terai) of Nepal from September 2011 to August 2012. Women of reproductive age (15 to 49 years) were the study subjects. At the household interview, structured questionnaires were used to obtain information on socio-demographic characteristics, anthropometric measurements, dietary intake pattern, consumption of junk foods, animal rearing, agricultural products, possession of kitchen garden, pregnancy status and anemia. Dietary intake pattern was determined by information collected through the structured questionnaires comprising of food items-cereals, pulses/legumes, vegetables, meat, fruits and milk and milk products. Health check-up camps were conducted in the local health facilities where qualified doctors, nurses and laboratory technicians performed physical examination of the women, confirmed their pregnancy and conducted hematocrit tests. The data was entered and analyzed using SPSS. Altogether 21,111 women were interviewed. More than a quarter of the women in Terai were malnourished as indicated by low body mass index (BMI < 18.5 Kg/m(2)). Among the dietary intake pattern, the majority of women consumed cereals at least once a day in all three ecological regions. The majority of women in Mountain consumed pulses/legumes thrice a week. In Terai, the majority of women consumed vegetables thrice a week. In all three ecological regions, the majority of women consumed meat and meat products and fruits once a week. About thirty percent of women consumed milk and milk products once a day in all three ecological regions. The non-use of iodized salt by Terai women was the highest (5.3 %, n = 303). In all the ecological regions, cereals and vegetables were produced in the majority of the participants' households in comparison of fruits, poultry and goat/sheep. The women of age 15 to 24 years were 2.7 times more likely to be malnourished than women of 35 to 49 years age (aOR = 2.7, CI = 2.5,3.0). The unemployed women had nearly two times more chances of being malnourished than women doing manual work (aOR = 1.9, 95 % CI = 1.5,2.2). In Terai, women were five times more likely to be malnourished (aOR = 0.2, CI = 0.1,0.2) and 20 times more likely to be anemic (aOR = 0.05, CI = 0.04,0.07) than women in Mountain. The pregnant women were five times more likely to be anemic than non-pregnant women (aOR = 0.2, CI = 0.2,0.3). The nutritional status of women of reproductive age is still poor especially in Terai and the dietary intake pattern is not adequate. It suggests improving nutritional status and feeding habits especially intake of meat, fruits and vegetables focusing on reproductive aged women.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 358 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Kenya 1 <1%
Pakistan 1 <1%
Unknown 356 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 66 18%
Student > Bachelor 34 9%
Student > Ph. D. Student 24 7%
Researcher 19 5%
Student > Postgraduate 16 4%
Other 47 13%
Unknown 152 42%
Readers by discipline Count As %
Nursing and Health Professions 60 17%
Medicine and Dentistry 52 15%
Social Sciences 26 7%
Agricultural and Biological Sciences 23 6%
Environmental Science 7 2%
Other 30 8%
Unknown 160 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 February 2016.
All research outputs
#16,720,137
of 25,371,288 outputs
Outputs from Archives of Public Health
#727
of 1,144 outputs
Outputs of similar age
#234,434
of 405,473 outputs
Outputs of similar age from Archives of Public Health
#8
of 11 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,144 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 405,473 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.